Data Collection

Fabric Mask Dataset for Biometric Testing

Image

Understanding how AI systems perceive human faces requires more than standard images.
Fabric masks that accurately replicate facial features (front, sides, and back) allow testing systems under realistic, multi-angle conditions, revealing vulnerabilities and improving recognition robustness.

Industry Biometrics
Timeline Ongoing project
Data Multiple fabric mask samples, including hyper-realistic 3D-printed variants
Image
Industry Biometrics
Timeline Ongoing project
Data Multiple fabric mask samples, including hyper-realistic 3D-printed variants

The Task

The goal was to create fabric masks that accurately mimic human facial features for biometric testing. Standard masks typically cover only the front of the face (180°), but our dataset required full coverage, including the back and sides, so respondents could move naturally without compromising data integrity.

Key requirements included:

  • Full head contour for multi-angle recognition
  • High-quality, realistic prints with modular replaceable features (eyes, nose, mouth)
  • Material flexibility, including thinner fabrics similar to nylon hosiery for enhanced biometric testing accuracy

The Solution

  • 01

    3D Design and Production

    We developed a 3D breakdown of the head structure to guide the supplier. This allowed:

    • Integration of fabric with complete head coverage
    • Customizable inserts for facial features to increase realism
    • Post-production assembly that preserves the head’s natural shape
  • 02

    Material Selection and Printing

    Different fabrics were tested, including lightweight, semi-transparent options, which better simulate skin and allow anti-spoofing testing. Prints were optimized for:

    • Hyper-realistic textures and pigmentation, including micro-details like freckles or subtle wrinkles
    • Multi-layered construction for durable, realistic results
  • 03

    Process Optimization

    Even with a capable supplier, fabric mask production involves scaling challenges. We:

    • Standardized instructions for assembly and quality control
    • Monitored consistency across samples and materials
    • Ensured flexibility to swap parts for live testing scenarios

The Result

  • Successfully produced initial samples for early-stage testing with full head coverage

  • Created a scalable workflow for future production of hyper-realistic fabric masks

  • Established expertise in multi-angle, realistic mask fabrication for biometric validation

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